Dynamic speckle analysis at low contrast of recorded patterns

Elena Stoykova; Dimana Nazarova; Kwan-Jung Oh; Joongki Park

doi:10.1117/12.2547859

18 December 2019 Dynamic speckle analysis at low contrast of recorded patterns

Elena Stoykova, Dimana Nazarova, Kwan-Jung Oh, Joongki Park

Proceedings Volume 11338, AOPC 2019: Optical Sensing and Imaging Technology; 1133830 (2019) https://doi.org/10.1117/12.2547859
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

Dynamic speckle analysis is a highly sensitive approach for monitoring speed of processes, which cause change in micro-topography of the surface of 3D objects. The raw data are speckle patterns formed on the surface under laser light illumination. Statistical pointwise processing of correlated in time speckle patterns yields a 2D map of the ongoing activity, that shows regions of faster or slower fluctuations of laser light intensity. The map is a distribution of a given estimate, which is contaminated by signal-dependent noise due to averaging over a finite number of speckle patterns. For this reason, efficiency of processing is frequently addressed topic. This paper studies the impact of the speckle contrast on quality of the activity map characterized by the spread of the probability density function of the activity estimate. It has been shown by simulation and experiment that retrieval of different activity regions is effective at low contrast of the speckle patterns.

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Elena Stoykova, Dimana Nazarova, Kwan-Jung Oh, and Joongki Park "Dynamic speckle analysis at low contrast of recorded patterns", Proc. SPIE 11338, AOPC 2019: Optical Sensing and Imaging Technology, 1133830 (18 December 2019); https://doi.org/10.1117/12.2547859

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KEYWORDS

Speckle pattern

Speckle

Speckle analysis

Glasses

Correlation function

Fourier transforms

Polymers

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